MATH 231
Spring 2019 not offered

Certificates: Applied Data Science 
Course Cluster: Data Analysis Minor, Integrated Design, Engineering & Applied Science Minor 
This course teaches the basic theory of probability. Although the notions are simple and the mathematics involved require only a basic knowledge of the ideas of differential and integral calculus, a certain degree of mathematical maturity is necessary. The fundamental concepts to be studied are probability spaces and random variables, the most important ideas being conditional probability and independence. The main theorems we will study are the law of large numbers and the central limit theorem. 
Credit: 1 
Gen Ed Area Dept:
NSM MATH 
Course Format: Lecture / Discussion  Grading Mode: Graded 
Level: UGRD 
Prerequisites: MATH222 AND MATH228 

Fulfills a Major Requirement for: (CADS)(CIS)(COMP)(DATAMN)(IDEAMN)(MATH)(MB&B)(NS&B) 
Major Readings:
Durrett, Richard. ELEMENTARY PROBABILITY FOR APPLICATIONS, ISBN: 9780521867566

Examinations and Assignments: TBA 
Additional Requirements and/or Comments: Students should have a good knowledge of singlevariable calculus. 
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